Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 30,021 to 30,030 of 220,100 articles

Generating imperceptible adversarial examples via low-frequency aware transfer attacks on battery management systems.

Scientific reports
Despite the success of deep learning models for the state-of-health estimation of lithium-ion batteries in battery management systems, their susceptibility to adversarial attacks raises concerns about security risks, leading to misdiagnosis and unnec... read more 

Predicting primary resistance to third-generation EGFR-TKIs in lung adenocarcinoma using a multisource cross-modal transformer model.

NPJ precision oncology
The aim of this study was to investigate the utility of a multisource cross-modal Transformer (MC-Trans) model in predicting primary resistance to third-generation epidermal growth factor receptor tyrosine kinase inhibitors (3rd-EGFR-TKIs) in patient... read more 

The SPECT/CT radiomics-based classification of skeletal metastases and benign bone lesions.

Scientific reports
Hybrid Single Photon Emission Computed Tomography/Computed Tomography (SPECT/CT) improves lesion localization and diagnostic accuracy in detecting skeletal metastases. However, interpretation based on standardized uptake value (SUV) remains suboptima... read more 

Fractional-order differential model for knee implant recovery in smart health infrastructures.

Scientific reports
Recovery from knee replacement surgery in conventional orthopaedic healthcare systems can be delayed due to high costs, pain, limited monitoring, and insufficient follow-up, which may hinder early detection of poor healing and inflammation. This stud... read more 

Personalizing treatment of pancreatitis-associated chronic pain: the need for an integrated omics approach.

Inflammation research : official journal of the European Histamine Research Society ... [et al.]
BACKGROUND: Chronic pancreatitis (CP) is a progressive inflammatory disorder characterized by debilitating chronic pain and substantial healthcare burden. Pain mechanisms in CP are heterogeneous and incompletely integrated into clinical decision-maki... read more 

Machine learning forecasting of electroosmotic MHD flow of a buoyancy-driven ternary nanofluid in converging and diverging channels.

Scientific reports
Artificial neural networks (ANNs) are utilized to study the buoyancy-driven electroosmotic flow conveying Blood, Gold (Au), Copper (Cu), and Multi-Walled Carbon Nanotubes in convergent ciliated tube (CCT) and divergent ciliated tube (DCT) micro-vesse... read more 

Referral uptake after diabetic retinopathy screening with artificial intelligence-assisted care pathways: a systematic review and meta-analysis.

NPJ digital medicine
Artificial intelligence (AI) is an accurate screening tool for diabetic retinopathy (DR), the leading cause of blindness among working-aged adults. However, its impact on referral uptake is uncertain. We searched Embase, MEDLINE, Scopus, Web of Scien... read more